A Large-Scale System Evaluation on Component-Level
نویسندگان
چکیده
This article describes a large-scale empirical evaluation across different types of English text collections. We ran about 140,000 experiments and analyzed the results on system component-level to find out if we can select configurations that perform reliable on specific types of corpora. To our own surprise we observed that a specific set of configuration parameters achieved 95% of the optimal average MAP across all collections. We conclude that this configuration could be used as baseline reference for evaluation of new IR approaches on English text corpora.
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